The state and local police departments are trying to analyze
crime rates so they can shift their patrols from decreasing-rate
areas to areas where rates are increasing. The city and county have
been geographically segmented into areas containing 5,000
residences. The police recognize that not all crimes and offenses
are reported: people do not want to become involved, consider the
offenses too small to report, are too embarrassed to make a police
report, or do not take the time, among other reasons. Every month,
because of this, the police are contacting by phone a random sample
of 800 of the 5,000 residences for data on crime. (Respondents are
guaranteed anonymity.) Here are the data collected for the past 12
months for one area:
MONTH | CRIME INCIDENCE | SAMPLE SIZE | CRIME RATE |
January | 14 | 800 | 0.01750 |
February | 14 | 800 | 0.01750 |
March | 11 | 800 | 0.01375 |
April | 15 | 800 | 0.01875 |
May | 12 | 800 | 0.01500 |
June | 14 | 800 | 0.01750 |
July | 10 | 800 | 0.01250 |
August | 9 | 800 | 0.01125 |
September | 14 | 800 | 0.01750 |
October | 7 | 800 | 0.00875 |
November | 9 | 800 | 0.01125 |
December | 12 | 800 | 0.01500 |
a. Determine the P−P− , Sp,
UCL and LCL for a p-chart of 95 percent confidence (at
Z = 1.96). (Round to 5 decimal places)
p bar:
Sp:
UCL:
LCL:
MONTH | CRIME INCIDENCE (np) | SAMPLE SIZE (n) |
CRIME RATE (p = np/n) |
Jan | 14 | 800 | 0.01750 |
Feb | 14 | 800 | 0.01750 |
Mar | 11 | 800 | 0.01375 |
Apr | 15 | 800 | 0.01875 |
May | 12 | 800 | 0.01500 |
Jun | 14 | 800 | 0.01750 |
Jul | 10 | 800 | 0.01250 |
Aug | 9 | 800 | 0.01125 |
Sep | 14 | 800 | 0.01750 |
Oct | 7 | 800 | 0.00875 |
Nov | 9 | 800 | 0.01125 |
Dec | 12 | 800 | 0.01500 |
p_bar = | 0.01469 | ||
Sp = | 0.00425 | ||
UCL = | 0.02302 | ||
LCL = | 0.00635 |
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